9 citations · 33 across the 18 of their papers we have counts for
20 papers
DisastQA: A Comprehensive Benchmark for Evaluating Question Answering in Disaster Management
Zhitong Chen, Kai Yin, Xiangjue Dong +7
Accurate question answering (QA) in disaster management requires reasoning over uncertain and conflicting information, a setting poorly captured by existing benchmarks built on cle…
Quantifying Functional Criticality of Lifelines Through Mobility-Derived Population-Facility Dependence for Human-Centered Resilience
Junwei Ma, Bo Li, Xiangpeng Li +2
Lifeline infrastructure underpins the continuity of daily life, yet conventional criticality assessments remain largely asset-centric, inferring importance from physical capacity o…
Decoupling Urban Food Accessibility Resilience during Disasters through Time-Series Analysis of Human Mobility and Power Outages
Junwei Ma, Bo Li, Xiangpeng Li +1
Disaster-induced power outages create cascading disruptions across urban lifelines, yet the timed coupling between grid failure and essential service access remains poorly quantifi…
Disaster Management in the Era of Agentic AI Systems: A Vision for Collective Human-Machine Intelligence for Augmented Resilience
Bo Li, Junwei Ma, Kai Yin +3
The escalating frequency and severity of disasters routinely overwhelm traditional response capabilities, exposing critical vulnerability in disaster management. Current practices…
Quantifying the Social Costs of Power Outages and Restoration Disparities Across Four U.S. Hurricanes
Xiangpeng Li, Junwei Ma, Bo Li +1
The multifaceted nature of disaster impact shows that densely populated areas contribute more to aggregate burden, while sparsely populated but heavily affected regions suffer disp…
Evac-Cast: An Interpretable Machine-Learning Framework for Evacuation Forecasts Across Hurricanes and Wildfires
Bo Li, Chenyue Liu, Ali Mostafavi
Evacuation is critical for disaster safety, yet agencies lack timely, accurate, and transparent tools for evacuation prediction. This study introduces Evac-Cast, an interpretable m…
Estimating Deprivation Cost Functions for Power Outages During Disasters: A Discrete Choice Modeling Approach
Xiangpeng Li, Mona Ahmadiani, Richard Woodward +3
Systems for the generation and distribution of electrical power represents critical infrastructure and, when extreme weather events disrupt such systems, this imposes substantial c…
AI Meets Natural Hazard Risk: A Nationwide Vulnerability Assessment of Data Centers to Natural Hazards and Power Outages
Miguel Esparza, Bo Li, Junwei Ma +1
Our society is on the verge of a revolution powered by Artificial Intelligence (AI) technologies. With increasing advancements in AI, there is a growing expansion in data centers (…
Establishing Nationwide Power System Vulnerability Index across US Counties Using Interpretable Machine Learning
Junwei Ma, Bo Li, Olufemi A. Omitaomu +1
Power outages have become increasingly frequent, intense, and prolonged in the US due to climate change, aging electrical grids, and rising energy demand. However, largely due to t…
Recent Decade's Power Outage Data Reveals the Increasing Vulnerability of U.S. Power Infrastructure
Bo Li, Junwei Ma, Femi Omitaomu +1
Despite significant anecdotal evidence regarding the vulnerability of the U.S. power infrastructure, there is a dearth of longitudinal and nation-level characterization of the spat…
CrisisSense-LLM: Instruction Fine-Tuned Large Language Model for Multi-label Social Media Text Classification in Disaster Informatics
Kai Yin, Bo Li, Chengkai Liu +2
In the field of crisis/disaster informatics, social media is increasingly being used for improving situational awareness to inform response and relief efforts. Efficient and accura…
Beyond Quantities: Machine Learning-based Characterization of Inequality in Infrastructure Quality Provision in Cities
Bo Li, Ali Mostafavi
The objective of this study is to characterize inequality in infrastructure quality across urban areas. While a growing of body of literature has recognized the importance of chara…
Deep Learning-driven Community Resilience Rating based on Intertwined Socio-Technical Systems Features
Kai Yin, Bo Li, Ali Mostafavi
Community resilience is a complex and muti-faceted phenomenon that emerges from complex and nonlinear interactions among different socio-technical systems and their resilience prop…
Unraveling Fundamental Properties of Power System Resilience Curves using Unsupervised Machine Learning
Bo Li, Ali Mostafavi
The standard model of infrastructure resilience, the resilience triangle, has been the primary way of characterizing and quantifying infrastructure resilience. However, the theoret…
Mobility Behaviors Shift Disparity in Flood Exposure in U.S. Population Groups
Bo Li, Chan Fan, Yu-Heng Chien +2
Current characterization of flood exposure is largely based on residential location of populations; however, location of residence only partially captures the extent to which popul…
Attributed Network Embedding Model for Exposing COVID-19 Spread Trajectory Archetypes
Junwei Ma, Bo Li, Qingchun Li +2
The spread of COVID-19 revealed that transmission risk patterns are not homogenous across different cities and communities, and various heterogeneous features can influence the spr…
Human Mobility Disproportionately Extends PM2.5 Emission Exposure for Low Income Populations
Chao Fan, Yu-Heng Chien, Ali Mostafavi
Ambient exposure to fine particulate matters of diameters smaller than 2.5μm (PM2.5) has been identified as one critical cause for respiratory disease. Disparities in exposure to P…
Quantitative Measures for Integrating Resilience into Transportation Planning Practice: Study in Texas
Cheng-Chun Lee, Akhil Rajput, Chia-Wei Hsu +10
The objective of this study is to propose a system-level framework with quantitative measures to assess the resilience of road networks. The framework proposed in this paper can he…
Characterizing Urban Lifestyle Signatures Using Motif Properties in Network of Places
Junwei Ma, Bo Li, Ali Mostafavi
The lifestyles of urban dwellers could reveal important insights regarding the dynamics and complexity of cities. Despite growing research on analysis of lifestyle patterns in citi…
Location Intelligence Reveals the Extent, Timing, and Spatial Variation of Hurricane Preparedness
Bo Li, Ali Mostafavi
Improving hurricane preparedness is essential to reduce hurricane impacts. Inherent in traditional methods for quantifying and monitoring hurricane preparedness are significant lag…